Kinetic studies and dynamic modeling of sophorolipids production by Candida catenulata using different carbon sources
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Mohammad Mehdi Nourouzpour
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Fariba Amiri
Abstract
The kinetic study on sophorolipids (SLs) production by Candida catenulata from glucose, raw sunflower soapstock was investigated at different initial concentrations ranging from 0 to 100 g L−1. The Monod model with a maximum specific growth rate (μ max) of 0.0167 h−1 and half-saturation coefficient (K S ) of 6.91 g L−1 best described the cell growth kinetics of C. catenulata on glucose. The best-fitted constants of the Monod model for raw sunflower soapstock were μ max = 0.0157 h−1 and K S = 16.01 g L−1. Determination of Luedeking-Piret constants indicated SLs mainly produced as an associated growth product in the systems. Dynamic features of the fermentation were modeled using the obtained constants and results showed the prediction power of the developed model in describing the behavior of the process. Also, a modified kinetic model was developed for the dynamic modeling of the dual carbon sources system.
Acknowledgments
The authors would like to thank Kermanshah Mahidasht Agricultural Industrial Complex (Nazgol Oil Factory, Kermanshah, Iran) for giving us the soap stock.
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Research ethics: Not applicable.
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Author contributions: This work was carried out in collaboration between all authors. Mohammad Mehdi Nourouzpour gathered the initial data, managed the literature searches, and wrote the initial manuscript. Alireza Habibi anchored the field study, interpreted the data, and revised the manuscript, and Fariba Amiri helped to gather and analyze the data.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: The raw data can be obtained on request from the corresponding author.
References
1. Ceresa, C, Fracchia, L, Fedeli, E, Porta, C, Banat, IM. Recent advances in biomedical, therapeutic and pharmaceutical applications of microbial surfactants. Pharmaceutics 2021;13:466. https://doi.org/10.3390/pharmaceutics13040466.Suche in Google Scholar PubMed PubMed Central
2. Desai, JD, Banat, IM. Microbial production of surfactants and their commercial potential. Microbiol Mol Biol Rev 2021;61:47–64. https://doi.org/10.1128/mmbr.61.1.47-64.1997.Suche in Google Scholar PubMed PubMed Central
3. Davila, AM, Marchal, R, Vandecasteele, JP. Kinetics and balance of a fermentation free from product inhibition: sophorose lipid production by Candida bombicola. Appl Microbiol Biotechnol 1992;38:6–11. https://doi.org/10.1007/bf00169410.Suche in Google Scholar
4. Dierickx, S, Castelein, M, Remmery, J, De Clercq, V, Lodens, S, Baccile, N, et al.. From bumblebee to bioeconomy: recent developments and perspectives for sophorolipid biosynthesis. Biotechnol Adv 2022;54:107788. https://doi.org/10.1016/j.biotechadv.2021.107788.Suche in Google Scholar PubMed
5. Casas, JA, García de Lara, S, García-Ochoa, F. Optimization of a synthetic medium for Candida bombicola growth using factorial design of experiments. Enzym Microb Technol 1997;21:221–9. https://doi.org/10.1016/s0141-0229(97)00038-0.Suche in Google Scholar
6. Cooper, DG, Paddock, DA. Production of a biosurfactant from Torulopsis bombicola. Appl Environ Microbiol 1984;47:173–6. https://doi.org/10.1128/aem.47.1.173-176.1984.Suche in Google Scholar PubMed PubMed Central
7. Roelants, S, Solaiman, DKY, Ashby, RD, Lodens, S, Van Renterghem, L, Soetaert, W. Production and applications of sophorolipids. In: Biobased surfactants. Elsevier; 2019:65–119 pp. https://www.sciencedirect.com/science/article/abs/pii/B9780128127056000034.10.1016/B978-0-12-812705-6.00003-4Suche in Google Scholar
8. Ito, S, Inoue, S. Sophorolipids from Torulopsis bombicola: possible relation to alkane uptake. Appl Environ Microbiol 1982;43:1278–83. https://doi.org/10.1128/aem.43.6.1278-1283.1982.Suche in Google Scholar PubMed PubMed Central
9. Tulloch, AP, Spencer, JFT. Fermentation of long-chain compounds by Torulopsis species. VIII. Formation of a long-chain alcohol ester of hydroxy fatty acid sophoroside by fermentation of fatty alcohol by a Torulopis species. J Org Chem 1972;37:2868–70. https://doi.org/10.1021/jo00983a016.Suche in Google Scholar PubMed
10. Wongsirichot, P, Ingham, B, Winterburn, J. A review of sophorolipid production from alternative feedstocks for the development of a localized selection strategy. J Clean Prod 2021;319:128727. https://doi.org/10.1016/j.jclepro.2021.128727.Suche in Google Scholar
11. Wang, H, Roelants, SL, To, MH, Patria, RD, Kaur, G, Lau, NS, et al.. Starmerella bombicola: recent advances on sophorolipid production and prospects of waste stream utilization. J Chem Technol Biotechnol 2019;94:999–1007. https://doi.org/10.1002/jctb.5847.Suche in Google Scholar
12. Nourouzpour, MM, Habibi, A. Degumming process of vegetable oil soapstocks and their applications to biological surfactant production by Candida catenulata. Waste Biomass Valorizat 2023. https://doi.org/10.1007/s12649-023-02222-4.Suche in Google Scholar
13. Amiri, F, Habibi, A. Free fatty acids in sunflower oil soapstock progressed the sophorolipid production by Candida catenulata. Can J Chem Eng 2023;102:53–64. https://doi.org/10.1002/cjce.25029.Suche in Google Scholar
14. Câmara, JMDA, Sousa, MASB, Barros Neto, EL. Modeling of rhamnolipid biosurfactant production: estimation of kinetic parameters by genetic algorithm. J Surfactants Deterg 2020;23:705–14. https://doi.org/10.1002/jsde.12410.Suche in Google Scholar
15. Devianto, LA, Latunussa, CEL, Helmy, Q, Kardena, E. Biosurfactants production using glucose and molasses as carbon sources by Azotobacter vinelandii and soil washing application in hydrocarbon-contaminated soil. IOP Conf Ser Earth Environ Sci 2020;475:012075. https://doi.org/10.1088/1755-1315/475/1/012075.Suche in Google Scholar
16. Jamali, S, Gharaei, M, Abbasi, S. Identification of yeast species from uncultivated soils by sequence analysis of the hypervariable D1/D2 domain of LSU-rDNA gene in Kermanshah province, Iran. Mycol Iran 2016;3:87–98. https://doi.org/10.22043/MI.2017.26130.Suche in Google Scholar
17. Ciesielska, K, Roelants, SL, Van Bogaert, INA, De Waele, S, Vandenberghe, I, Groeneboer, S, et al.. Characterization of a novel enzyme-Starmerella bombicola lactone esterase (SBLE)-responsible for sophorolipid lactonization. Appl Microbiol Biotechnol 2016;100:9529–41. https://doi.org/10.1007/s00253-016-7633-2.Suche in Google Scholar PubMed
18. Miller, GL. Use of dinitrosalicylic acid reagent for determination of reducing sugar. Anal Chem 1959;31:426–8. https://doi.org/10.1021/ac60147a030.Suche in Google Scholar
19. Alipour, S, Habibi, A, Taavoni, S, Varmira, K. β-carotene production from soapstock by loofa-immobilized Rhodotorula rubra in an airlift photobioreactor. Process Biochem 2017;54:9–19. https://doi.org/10.1016/j.procbio.2016.12.01.Suche in Google Scholar
20. Pirt, SJ. Maintenance energy: a general model for energy-limited and energy-sufficient growth. Arch Microbiol 1982;133:300–2. https://doi.org/10.1007/bf00521294.Suche in Google Scholar
21. Luedeking, R, Piret, EL. A kinetic study of the lactic acid fermentation. Batch process at controlled pH. J Microb Biochem Technol 1959;1:393–412. https://doi.org/10.1002/jbmte.390010406.Suche in Google Scholar
22. Park, YK, Dulermo, T, Ledesma-Amaro, R, Nicaud, JM. Optimization of odd chain fatty acid production by Yarrowia lipolytica. Biotechnol Biofuels Bioprod 2018;11:158. https://doi.org/10.1186/s13068-018-1154-4.Suche in Google Scholar PubMed PubMed Central
23. Habibi, A, Vahabzadeh, F, Zaiat, M. Dynamic mathematical models for biodegradation of formaldehyde by Ralstonia eutropha in a batch bioreactor. J Environ Manag 2013;129:548–54. https://doi.org/10.1016/j.jenvman.2013.08.017.Suche in Google Scholar PubMed
24. Garcı́a-Ochoa, F, Casas, JA. Unstructured kinetic model for sophorolipid production by Candida bombicola. Enzym Microb Technol 1999;25:613–21. https://doi.org/10.1016/s0141-0229(99)00089-7.Suche in Google Scholar
25. Van Bogaert, INA, Saerens, K, De Muynck, C, Develter, D, Soetaert, W, Vandamme, EJ. Microbial production and application of sophorolipids. Appl Microbiol Biotechnol 2007;76:23–34. https://doi.org/10.1007/s00253-007-0988-7.Suche in Google Scholar PubMed
26. Ma, X, Meng, L, Zhang, H, Zhou, L, Yue, J, Zhu, H, et al.. Sophorolipid biosynthesis and production from diverse hydrophilic and hydrophobic carbon substrates. Appl Microbiol Biotechnol 2020;104:77–100. https://doi.org/10.1007/s00253-019-10247-w.Suche in Google Scholar PubMed
27. Shah, V, Jurjevic, M, Badia, D. Utilization of restaurant waste oil as a precursor for sophorolipid production. Biotechnol Prog 2007;23:512–5. https://doi.org/10.1021/bp0602909.Suche in Google Scholar PubMed
28. Kishan, G, Gopalakannan, P, Muthukumaran, C, Thirumalai Muthukumaresan, K, Dharmendira Kumar, M, Tamilarasan, K. Statistical optimization of critical medium components for lipase production from Yarrowia lipolytica (MTCC 35). J Genet Eng Biotechnol 2013;11:111–6. https://doi.org/10.1016/j.jgeb.2013.06.001.Suche in Google Scholar
29. Sana, S, Datta, S, Biswas, D, Bhattacharya, M. Production kinetics of Rhamnolipid using fish fat: a step towards environmental hazard control of sewage. Environ Technol Innovat 2017;8:299–308. https://doi.org/10.1016/j.eti.2017.07.004.Suche in Google Scholar
30. Medina-Moreno, SA, Jiménez-Islas, D, Gracida-Rodríguez, JN, Gutiérrez-Rojas, M, Díaz-Ramírez, IJ. Modeling rhamnolipids production by Pseudomonas aeruginosa from immiscible carbon source in a batch system. Int J Environ Sci Technol 2011;8:471–82. https://doi.org/10.1007/bf03326233.Suche in Google Scholar
31. Haba, E, Espuny, MJ, Busquets, M, Manresa, A. Screening and production of rhamnolipids by Pseudomonas aeruginosa 47T2 NCIB 40044 from waste frying oils. J Appl Microbiol 2000;88:379–87. https://doi.org/10.1046/j.1365-2672.2000.00961.x.Suche in Google Scholar PubMed
32. Thaniyavarn, J, Roongsawang, N, Kameyama, T, Haruki, M, Imanaka, T, Morikawa, M, et al.. Production and characterization of biosurfactants from Bacillus licheniformis F2.2. Biosci, Biotechnol, Biochem 2003;67:1239–44. https://doi.org/10.1271/bbb.67.1239.Suche in Google Scholar PubMed
33. Sudhakar Babu, P, Vaidya, AN, Bal, AS, Kapur, R, Juwarkar, A, Khanna, P. Kinetics of biosurfactant production by Pseudomonas aeruginosa strain BS2 from industrial wastes. Biotechnol Lett 1996;18:263–8. https://doi.org/10.1007/bf00142942.Suche in Google Scholar
34. Ekpenyong, M, Asitok, A, Antai, S, Ekpo, B, Antigha, R, Ogarekpe, N, et al.. Kinetic modeling and quasi-economic analysis of fermentative glycolipopeptide biosurfactant production in a medium co-optimized by statistical and neural network approaches. Prep Biochem Biotechnol 2021;51:450–66. https://doi.org/10.1080/10826068.2020.1830414.Suche in Google Scholar PubMed
35. Amodu, OS, Ojumu, TV, Ntwampe, SKO. Kinetic modelling of cell growth, substrate utilization, and biosurfactant production from solid agrowaste (Beta vulgaris) by Bacillus licheniformis STK 01. Can J Chem Eng 2016;94:2268–75. https://doi.org/10.1002/cjce.22631.Suche in Google Scholar
36. Saerens, K, Van Bogaert, I, Soetaert, W, Vandamme, E. Production of glucolipids and specialty fatty acids from sophorolipids by Penicillium decumbens naringinase: optimization and kinetics. Biotechnol J 2009;4:517–24. https://doi.org/10.1002/biot.200800209.Suche in Google Scholar PubMed
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Numerical investigation of liquid mass fraction and condensation shock of wet-steam flow through convergence-divergence nozzle using strategic water droplets injection
- Energy, exergy, economic, and environmental analysis of natural gas sweetening process using lean vapor compression: a comparison study
- Enhancing heat transfer in tube heat exchanger containing water/Cu nanofluid by using turbulator
- Development of a superstructure optimization framework with heat integration for the production of biodiesel
- Smith predictor based fractional order controller design for improved performance and robustness of unstable FOPTD processes
- Kinetic studies and dynamic modeling of sophorolipids production by Candida catenulata using different carbon sources
- Modeling of reaction–desorption process by core–shell particles dispersed in continuously stirred tank reactor (CSTR)
- Mathematical modeling and evaluation of permeation and membrane separation performance for Fischer–Tropsch products in a hydrophilic membrane reactor
- Hydrodynamic simulation-informed compartment modelling of an annular centrifugal contactor
- Short Communication
- Simulation of single-effect and triple-effect evaporator for fruit juice concentration using Aspen HYSYS
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Numerical investigation of liquid mass fraction and condensation shock of wet-steam flow through convergence-divergence nozzle using strategic water droplets injection
- Energy, exergy, economic, and environmental analysis of natural gas sweetening process using lean vapor compression: a comparison study
- Enhancing heat transfer in tube heat exchanger containing water/Cu nanofluid by using turbulator
- Development of a superstructure optimization framework with heat integration for the production of biodiesel
- Smith predictor based fractional order controller design for improved performance and robustness of unstable FOPTD processes
- Kinetic studies and dynamic modeling of sophorolipids production by Candida catenulata using different carbon sources
- Modeling of reaction–desorption process by core–shell particles dispersed in continuously stirred tank reactor (CSTR)
- Mathematical modeling and evaluation of permeation and membrane separation performance for Fischer–Tropsch products in a hydrophilic membrane reactor
- Hydrodynamic simulation-informed compartment modelling of an annular centrifugal contactor
- Short Communication
- Simulation of single-effect and triple-effect evaporator for fruit juice concentration using Aspen HYSYS
